Initial public release of the BiSpectral EEG Component Analysis (BiSCA) framework.
Paper: Wang et al. (2025) "The influence of nonlinear resonance on human cortical oscillations" — bioRxiv
Included
- BiSCA model — joint spectral + bispectral fitting (
package/HoXiAlpha/@BiXiAlpha/) - Bootstrap testing — Gaussianity and linearity statistical tests (
@BiXiAlphaBootstrap/) - Higher-order spectra — bispectrum and bicoherence computation (
@HOS/) - Figure scripts — reproduce all main paper figures (Fig. 1–4) from
example/BiSCA/ - NAR-LPR — nonlinear autoregressive local polynomial regression (
utility/nar_lpr.m) - Demo —
demo_BiSCA.mwalks through a single-channel BiSCA analysis
Data
Pre-computed results (~516 MB) are available separately. See README for download instructions.
Requirements
- MATLAB R2024a or later
- Signal Processing Toolbox
- Statistics and Machine Learning Toolbox
- Optimization Toolbox
- Parallel Computing Toolbox + NVIDIA GPU (optional, for Fig. 2 NAR training)